Soft Computing Approach to Evaluate and Predict Blast Vibrations PDF Download
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Author: Manoj Khandelwal
Publisher: LAP Lambert Academic Publishing
ISBN: 9783848418756
Category : Blast effect
Languages : en
Pages : 116
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Book Description
Drilling and blasting is one of the most economical methods used for the exploitation of economic minerals from the earth crust. Ground vibrations induced by blasting are one of the fundamental problems in the mining industry due to its consequence on structural stability of buildings, socio-economical and the public involvement. Frequency is also another important parameter for the safety and stability of existing surrounding structures. There are number of vibration predictors available proposed by different researchers for the prediction of peak particle velocity (PPV) and to calculate safe charge for smooth and trouble free blasting but all the predictors are mainly based on parameters, like explosive charge used per delay and distance from the blast face to monitoring point. However, frequency prediction has been ignored while calculating the safe charge. It is well known that blast vibration is influenced by rock, explosive and blast design parameters. This book deals with assessment of the existing predictors capability vis-à-vis application of soft computing tool to compute the PPV and frequency based on rock, blast design and explosive parameters.
Author: Manoj Khandelwal
Publisher: LAP Lambert Academic Publishing
ISBN: 9783848418756
Category : Blast effect
Languages : en
Pages : 116
Get Book Here
Book Description
Drilling and blasting is one of the most economical methods used for the exploitation of economic minerals from the earth crust. Ground vibrations induced by blasting are one of the fundamental problems in the mining industry due to its consequence on structural stability of buildings, socio-economical and the public involvement. Frequency is also another important parameter for the safety and stability of existing surrounding structures. There are number of vibration predictors available proposed by different researchers for the prediction of peak particle velocity (PPV) and to calculate safe charge for smooth and trouble free blasting but all the predictors are mainly based on parameters, like explosive charge used per delay and distance from the blast face to monitoring point. However, frequency prediction has been ignored while calculating the safe charge. It is well known that blast vibration is influenced by rock, explosive and blast design parameters. This book deals with assessment of the existing predictors capability vis-à-vis application of soft computing tool to compute the PPV and frequency based on rock, blast design and explosive parameters.
Author: Ramesh M. Bhatawdekar
Publisher: Springer Nature
ISBN: 9811682372
Category : Science
Languages : en
Pages : 83
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Book Description
This book gives a rigorous and up-to-date study of the various AI and machine learning algorithms for resolving environmental challenges associated with blasting. Blasting is a critical activity in any mining or civil engineering project for breaking down hard rock masses. A small amount of explosive energy is only used during blasting to fracture rock in order to achieve the appropriate fragmentation, throw, and development of muck pile. The surplus energy is transformed into unfavourable environmental effects such as back-break, flyrock, air overpressure, and ground vibration. The advancement of artificial intelligence and machine learning techniques has increased the accuracy of predicting these environmental impacts of blasting. This book discusses the effective application of these strategies in forecasting, mitigating, and regulating the aforementioned blasting environmental hazards.
Author: Xuan-Nam Bui
Publisher: Springer Nature
ISBN: 3030608395
Category : Science
Languages : en
Pages : 578
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Book Description
This volume gathers the latest advances, innovations, and applications in the field of mining, geology and geo-spatial technologies, as presented by leading researchers and engineers at the International Conference on Innovations for Sustainable and Responsible Mining (ISRM), held in Hanoi, Vietnam on October 15-17 2020. The contributions cover a diverse range of topics, including mining technology, drilling and blasting engineering, tunneling and geotechnical applications, mineral processing, mine management and economy, environmental risk assessment and management, mining and local development, mined land rehabilitation, water management and hydrogeology, regional Geology and tectonics, spatial engineering for monitoring natural resources and environment change, GIS and remote sensing for natural disaster monitoring, risk mapping and revisualization, natural resources monitoring and management, mine occupational safety and health. Selected by means of a rigorous peer-review process, they will spur novel research directions and foster future multidisciplinary collaborations.
Author: Ali Soofastaei
Publisher: Springer Nature
ISBN: 3030915891
Category : Business & Economics
Languages : en
Pages : 746
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Book Description
In this book, Dr. Soofastaei and his colleagues reveal how all mining managers can effectively deploy advanced analytics in their day-to-day operations- one business decision at a time. Most mining companies have a massive amount of data at their disposal. However, they cannot use the stored data in any meaningful way. The powerful new business tool-advanced analytics enables many mining companies to aggressively leverage their data in key business decisions and processes with impressive results. From statistical analysis to machine learning and artificial intelligence, the authors show how many analytical tools can improve decisions about everything in the mine value chain, from exploration to marketing. Combining the science of advanced analytics with the mining industrial business solutions, introduce the “Advanced Analytics in Mining Engineering Book” as a practical road map and tools for unleashing the potential buried in your company’s data. The book is aimed at providing mining executives, managers, and research and development teams with an understanding of the business value and applicability of different analytic approaches and helping data analytics leads by giving them a business framework in which to assess the value, cost, and risk of potential analytical solutions. In addition, the book will provide the next generation of miners – undergraduate and graduate IT and mining engineering students – with an understanding of data analytics applied to the mining industry. By providing a book with chapters structured in line with the mining value chain, we will provide a clear, enterprise-level view of where and how advanced data analytics can best be applied. This book highlights the potential to interconnect activities in the mining enterprise better. Furthermore, the book explores the opportunities for optimization and increased productivity offered by better interoperability along the mining value chain – in line with the emerging vision of creating a digital mine with much-enhanced capabilities for modeling, simulation, and the use of digital twins – in line with leading “digital” industries.
Author: Bjorn Kihlstrom
Publisher:
ISBN:
Category :
Languages : en
Pages : 405
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Book Description
Author: J L Jensen
Publisher: CRC Press
ISBN: 9780412465307
Category : Mathematics
Languages : en
Pages : 324
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Book Description
This volume consists of a collection of tutorial papers by leading experts on statistical and probabilistic aspects of chaos and networks, in particular neural networks. While written for the non-expert, they are intended to bring the reader up to the forefront of knowledge and research in the subject areas concerned. The papers, which contain extensive references to the literature, can separately or in various combinations serve as bases for short- or full-length courses, at graduate or more advanced levels. The papers are directed not only to mathematical statisticians but also to students and researchers in related fields of biology, engineering, geology, physics and probability.
Author: Alex Spathis
Publisher: CRC Press
ISBN: 1482266474
Category : Technology & Engineering
Languages : en
Pages : 145
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Book Description
Collection of excellent articles presenting the latest developments in blast vibration measurements, modeling and mitigation techniques. Includes contributions on novel environmentally-induced vs blast-induced movements, non-conventional geophysical processing techniques, new modeling approaches, mitigation techniques using smarter blasting methods
Author: Alex Spathis
Publisher: CRC Press
ISBN: 020338749X
Category : Technology & Engineering
Languages : en
Pages : 132
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Book Description
Tunnelling in Rock by Drilling and Blasting presents the latest developments in the excavation of tunnels using the drilling and blasting method. Examples of work conducted throughout the world including the Indian sub-continent, Australia, and Sweden amongst others are discussed. These tunnel projects serve to illustrate the challenges and i
Author: Pradeep K. Singh
Publisher: CRC Press
ISBN: 0203387678
Category : Technology & Engineering
Languages : en
Pages : 872
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Book Description
Rock Fragmentation by Blasting contains the papers presented at the 10th International Symposium on Rock Fragmentation by Blasting (New Delhi, India, 26-29 November 2012), and represents the most advanced forum on blasting science and technology. The contributions cover all major recent advancements in blasting and fragmentation, from realistic tre
Author: Samui, Pijush
Publisher: IGI Global
ISBN: 1466694807
Category : Technology & Engineering
Languages : en
Pages : 641
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Book Description
Recent developments in information processing systems have driven the advancement of computational methods in the engineering realm. New models and simulations enable better solutions for problem-solving and overall process improvement. The Handbook of Research on Advanced Computational Techniques for Simulation-Based Engineering is an authoritative reference work representing the latest scholarly research on the application of computational models to improve the quality of engineering design. Featuring extensive coverage on a range of topics from various engineering disciplines, including, but not limited to, soft computing methods, comparative studies, and hybrid approaches, this book is a comprehensive reference source for students, professional engineers, and researchers interested in the application of computational methods for engineering design.
